66 citations · 375 across the 79 of their papers we have counts for
12 papers · 2 filters
Epoch-wise label attacks for robustness against label noise
Sebastian Guendel, Andreas Maier
The current accessibility to large medical datasets for training convolutional neural networks is tremendously high. The associated dataset labels are always considered to be the r…
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
Vincent Christlein, Anguelos Nicolaou, Mathias Seuret +2
This competition investigates the performance of large-scale retrieval of historical document images based on writing style. Based on large image data sets provided by cultural her…
Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
Marc Aubreville, Christof A. Bertram, Samir Jabari +3
For histopathological tumor assessment, the count of mitotic figures per area is an important part of prognostication. Algorithmic approaches - such as for mitotic figure identific…
Superpixel-Based Background Recovery from Multiple Images
Lei Gao, Yixing Huang, Andreas Maier
In this paper, we propose an intuitive method to recover background from multiple images. The implementation consists of three stages: model initialization, model update, and backg…
Deep Generalized Max Pooling
Vincent Christlein, Lukas Spranger, Mathias Seuret +3
Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They are used to aggregate activations of spatial locations to produce a fixed-size vector in se…
Fast and robust detection of solar modules in electroluminescence images
Mathis Hoffmann, Bernd Doll, Florian Talkenberg +3
Fast, non-destructive and on-site quality control tools, mainly high sensitive imaging techniques, are important to assess the reliability of photovoltaic plants. To minimize the r…